10559479 8323 Heinrich Peters 9960 Supervised Classification 17494 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(4) 8270264 copy true 17405 with_mean true 17405 with_std true 17405 add_indicator false 17407 copy true 17407 fill_value null 17407 missing_values NaN 17407 strategy "median" 17407 verbose 0 17407 memory null 17494 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}] 17494 verbose false 17494 C 1.2019329859336583 17495 cache_size 200 17495 class_weight null 17495 coef0 -0.8056274588169823 17495 decision_function_shape "ovr" 17495 degree 2 17495 gamma 0.14660663245874161 17495 kernel "rbf" 17495 max_iter -1 17495 probability true 17495 random_state 1 17495 shrinking true 17495 tol 0.001 17495 verbose false 17495 openml-python Sklearn_0.21.2. 1497 wall-robot-navigation https://www.openml.org/data/download/1592289/phpVeNa5j -1 22043930 description https://api.openml.org/data/download/22043930/description.xml -1 22043931 predictions https://api.openml.org/data/download/22043931/predictions.arff area_under_roc_curve 0.9784467990319137 [0.969365,0.982978,0.997757,0.98352] average_cost 0 f_measure 0.9024218201477449 [0.898466,0.92275,0.909938,0.858391] kappa 0.852433577980558 kb_relative_information_score 0.8269124620949982 mean_absolute_error 0.0717440277164126 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.9026759530791789 [0.902948,0.93133,0.893293,0.83293] number_of_instances 5456 [2205,2097,328,826] precision 0.9025268785406045 [0.894028,0.914326,0.927215,0.885457] predictive_accuracy 0.9026759530791789 prior_entropy 1.7146330399083418 relative_absolute_error 0.216593492185239 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.19198811229957724 root_relative_squared_error 0.4717807095757229 total_cost 0 unweighted_recall 0.8901251957292866 [0.902948,0.93133,0.893293,0.83293] area_under_roc_curve 0.9773787456037927 [0.971612,0.982313,0.997814,0.972062] area_under_roc_curve 0.9801885087458603 [0.967588,0.989442,0.995452,0.984309] area_under_roc_curve 0.9795472759860361 [0.967568,0.985048,0.996456,0.990658] area_under_roc_curve 0.984100744528062 [0.97903,0.986395,0.997814,0.986286] area_under_roc_curve 0.9742684698952585 [0.965351,0.97405,0.995452,0.990034] area_under_roc_curve 0.9798485336068034 [0.977091,0.982228,0.999882,0.973171] area_under_roc_curve 0.9755537203204421 [0.962979,0.982374,0.997198,0.983284] area_under_roc_curve 0.9817112099202072 [0.9732,0.984322,0.999208,0.991055] area_under_roc_curve 0.9792849178416754 [0.971021,0.982898,0.998757,0.984512] area_under_roc_curve 0.9739262603749237 [0.959402,0.982214,0.998816,0.981931] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.9045643770544306 [0.905312,0.925581,0.892308,0.853659] f_measure 0.9058219254299518 [0.900452,0.941995,0.881356,0.8375] f_measure 0.8975045234110504 [0.890411,0.92381,0.852941,0.86747] f_measure 0.9301109244906915 [0.936937,0.940898,0.909091,0.893082] f_measure 0.8915787103706481 [0.885321,0.909513,0.892308,0.8625] f_measure 0.9098501233121684 [0.914798,0.919431,0.984615,0.842767] f_measure 0.880401924204685 [0.874172,0.896882,0.909091,0.844156] f_measure 0.9135645151830349 [0.907865,0.93617,0.915254,0.871166] f_measure 0.9024810314836668 [0.895323,0.926014,0.923077,0.853503] f_measure 0.8880551793982008 [0.874439,0.906475,0.939394,0.857143] kappa 0.8560856430323798 kappa 0.8576460424004787 kappa 0.8455851160535726 kappa 0.8945243989853032 kappa 0.8362602229349545 kappa 0.8638556424035174 kappa 0.8186253929569821 kappa 0.8688367615507114 kappa 0.8522816186886638 kappa 0.8306082206857196 kb_relative_information_score 0.8317968284946545 kb_relative_information_score 0.8113296811884894 kb_relative_information_score 0.826272900317824 kb_relative_information_score 0.8468959658154634 kb_relative_information_score 0.812056152262423 kb_relative_information_score 0.8399271616511913 kb_relative_information_score 0.816398182902255 kb_relative_information_score 0.8404755530869565 kb_relative_information_score 0.8265231039175037 kb_relative_information_score 0.8174176829451227 mean_absolute_error 0.07089780476790715 mean_absolute_error 0.07516389026691728 mean_absolute_error 0.0716271746705134 mean_absolute_error 0.06450867171247987 mean_absolute_error 0.07692387573995883 mean_absolute_error 0.06760115857377891 mean_absolute_error 0.07579094316514985 mean_absolute_error 0.06781257050157538 mean_absolute_error 0.07023874861699243 mean_absolute_error 0.07688230445264348 mean_prior_absolute_error 0.3311434139730841 mean_prior_absolute_error 0.3311434139730841 mean_prior_absolute_error 0.33137469978129297 mean_prior_absolute_error 0.33137469978129297 mean_prior_absolute_error 0.33137469978129297 mean_prior_absolute_error 0.33137469978129297 mean_prior_absolute_error 0.3311205766710351 mean_prior_absolute_error 0.3311024296804111 mean_prior_absolute_error 0.3311861074705109 mean_prior_absolute_error 0.3311861074705109 number_of_instances 546 [221,210,33,82] number_of_instances 546 [221,210,33,82] number_of_instances 546 [220,210,33,83] number_of_instances 546 [220,210,33,83] number_of_instances 546 [220,210,33,83] number_of_instances 546 [220,210,33,83] number_of_instances 545 [220,210,32,83] number_of_instances 545 [221,209,32,83] number_of_instances 545 [221,209,33,82] number_of_instances 545 [221,209,33,82] precision 0.9050944142335653 [0.924528,0.904545,0.90625,0.853659] precision 0.9072011447577059 [0.900452,0.918552,1,0.858974] precision 0.8976773772317678 [0.894495,0.92381,0.828571,0.86747] precision 0.9304439030558908 [0.928571,0.934272,0.909091,0.934211] precision 0.8921269072199636 [0.893519,0.886878,0.90625,0.896104] precision 0.910118928111344 [0.902655,0.915094,1,0.881579] precision 0.8823562279591044 [0.849785,0.903382,0.882353,0.915493] precision 0.9143687607942088 [0.901786,0.925234,1,0.8875] precision 0.9029283874824676 [0.881579,0.92381,0.9375,0.893333] precision 0.8881875969615489 [0.866667,0.908654,0.939394,0.873418] predictive_accuracy 0.9047619047619048 predictive_accuracy 0.9065934065934066 predictive_accuracy 0.8974358974358974 predictive_accuracy 0.9304029304029303 predictive_accuracy 0.891941391941392 predictive_accuracy 0.9102564102564102 predictive_accuracy 0.8807339449541284 predictive_accuracy 0.9137614678899082 predictive_accuracy 0.9027522935779817 predictive_accuracy 0.8880733944954129 prior_entropy 1.7138246699606299 prior_entropy 1.7138246699606299 prior_entropy 1.7164171123716554 prior_entropy 1.7164171123716554 prior_entropy 1.7164171123716554 prior_entropy 1.7164171123716554 prior_entropy 1.7121302787024806 prior_entropy 1.711997401430895 prior_entropy 1.714437400963805 prior_entropy 1.714437400963805 relative_absolute_error 0.21409999950556116 relative_absolute_error 0.22698289349951176 relative_absolute_error 0.21615160939500594 relative_absolute_error 0.19466987598949326 relative_absolute_error 0.2321356331389467 relative_absolute_error 0.20400217221892802 relative_absolute_error 0.22889227823629754 relative_absolute_error 0.2048084351631907 relative_absolute_error 0.21208241237367287 relative_absolute_error 0.23214229920404844 root_mean_prior_squared_error 0.4068271240296317 root_mean_prior_squared_error 0.4068271240296317 root_mean_prior_squared_error 0.40711128043132166 root_mean_prior_squared_error 0.40711128043132166 root_mean_prior_squared_error 0.40711128043132166 root_mean_prior_squared_error 0.40711128043132166 root_mean_prior_squared_error 0.4067990554858411 root_mean_prior_squared_error 0.40677675026179705 root_mean_prior_squared_error 0.4068795919478491 root_mean_prior_squared_error 0.4068795919478491 root_mean_squared_error 0.19053329994179458 root_mean_squared_error 0.19594142373106047 root_mean_squared_error 0.19497246581905636 root_mean_squared_error 0.17191317222601668 root_mean_squared_error 0.20321451716318853 root_mean_squared_error 0.18218669399468906 root_mean_squared_error 0.20101496686188294 root_mean_squared_error 0.17867856737832571 root_mean_squared_error 0.19609314699013547 root_mean_squared_error 0.20264340929912564 root_relative_squared_error 0.4683397165227284 root_relative_squared_error 0.4816331364296861 root_relative_squared_error 0.47891688388611864 root_relative_squared_error 0.42227562951309056 root_relative_squared_error 0.49916208892047675 root_relative_squared_error 0.44751079803455207 root_relative_squared_error 0.49413823397846945 root_relative_squared_error 0.4392546212715701 root_relative_squared_error 0.4819439236344625 root_relative_squared_error 0.4980426969291175 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 unweighted_recall 0.8917358227616476 [0.886878,0.947619,0.878788,0.853659] unweighted_recall 0.8680177784912361 [0.900452,0.966667,0.787879,0.817073] unweighted_recall 0.8891077296197779 [0.886364,0.92381,0.878788,0.86747] unweighted_recall 0.9143965472278726 [0.945455,0.947619,0.909091,0.855422] unweighted_recall 0.8801798101496897 [0.877273,0.933333,0.878788,0.831325] unweighted_recall 0.9070020341104679 [0.927273,0.92381,0.969697,0.807229] unweighted_recall 0.8777771801491681 [0.9,0.890476,0.9375,0.783133] unweighted_recall 0.8901418142802215 [0.914027,0.947368,0.84375,0.855422] unweighted_recall 0.8909740018344564 [0.909502,0.92823,0.909091,0.817073] unweighted_recall 0.8918791288250625 [0.882353,0.904306,0.939394,0.841463] usercpu_time_millis 8701.749999999947 usercpu_time_millis 8474.080000000185 usercpu_time_millis 8575.567999999748 usercpu_time_millis 8594.60399999989 usercpu_time_millis 8576.328000000103 usercpu_time_millis 8517.221999999947 usercpu_time_millis 8438.124000000244 usercpu_time_millis 8499.05200000012 usercpu_time_millis 7740.522000000055 usercpu_time_millis 8012.868000000026 usercpu_time_millis_testing 103.61799999986943 usercpu_time_millis_testing 103.8300000000163 usercpu_time_millis_testing 107.68199999984063 usercpu_time_millis_testing 106.90599999998085 usercpu_time_millis_testing 108.33999999999833 usercpu_time_millis_testing 105.25600000005397 usercpu_time_millis_testing 101.01200000008248 usercpu_time_millis_testing 95.53600000003826 usercpu_time_millis_testing 94.99600000003738 usercpu_time_millis_testing 97.32600000006641 usercpu_time_millis_training 8598.132000000078 usercpu_time_millis_training 8370.25000000017 usercpu_time_millis_training 8467.885999999908 usercpu_time_millis_training 8487.69799999991 usercpu_time_millis_training 8467.988000000105 usercpu_time_millis_training 8411.965999999893 usercpu_time_millis_training 8337.112000000161 usercpu_time_millis_training 8403.516000000081 usercpu_time_millis_training 7645.526000000018 usercpu_time_millis_training 7915.541999999959 wall_clock_time_millis 4978.4300327301025 wall_clock_time_millis 4711.331844329834 wall_clock_time_millis 4703.202962875366 wall_clock_time_millis 4785.715103149414 wall_clock_time_millis 4748.098611831665 wall_clock_time_millis 4714.757680892944 wall_clock_time_millis 4678.303003311157 wall_clock_time_millis 4693.215847015381 wall_clock_time_millis 4088.472843170166 wall_clock_time_millis 4306.775093078613 wall_clock_time_millis_testing 57.59000778198242 wall_clock_time_millis_testing 56.860923767089844 wall_clock_time_millis_testing 56.32495880126953 wall_clock_time_millis_testing 54.86702919006348 wall_clock_time_millis_testing 56.188344955444336 wall_clock_time_millis_testing 56.18572235107422 wall_clock_time_millis_testing 55.80902099609375 wall_clock_time_millis_testing 48.277854919433594 wall_clock_time_millis_testing 48.146963119506836 wall_clock_time_millis_testing 55.03106117248535 wall_clock_time_millis_training 4920.84002494812 wall_clock_time_millis_training 4654.470920562744 wall_clock_time_millis_training 4646.878004074097 wall_clock_time_millis_training 4730.848073959351 wall_clock_time_millis_training 4691.910266876221 wall_clock_time_millis_training 4658.57195854187 wall_clock_time_millis_training 4622.4939823150635 wall_clock_time_millis_training 4644.937992095947 wall_clock_time_millis_training 4040.325880050659 wall_clock_time_millis_training 4251.744031906128 weighted_recall 0.9047619047619048 [0.886878,0.947619,0.878788,0.853659] weighted_recall 0.9065934065934066 [0.900452,0.966667,0.787879,0.817073] weighted_recall 0.8974358974358975 [0.886364,0.92381,0.878788,0.86747] weighted_recall 0.9304029304029304 [0.945455,0.947619,0.909091,0.855422] weighted_recall 0.891941391941392 [0.877273,0.933333,0.878788,0.831325] weighted_recall 0.9102564102564102 [0.927273,0.92381,0.969697,0.807229] weighted_recall 0.8807339449541285 [0.9,0.890476,0.9375,0.783133] weighted_recall 0.9137614678899083 [0.914027,0.947368,0.84375,0.855422] weighted_recall 0.9027522935779817 [0.909502,0.92823,0.909091,0.817073] weighted_recall 0.8880733944954129 [0.882353,0.904306,0.939394,0.841463]